Neha Koul
Papers
4
Total Citations
70
H-Index
2
About
Neha Koul is an emerging researcher at the forefront of robotics, the Internet of Things, and intelligent systems, with a particular focus on the convergence of these technologies to address real-world challenges. Her work centers on the Internet of Robotic Things (IoRT), a rapidly evolving field that integrates cloud computing, artificial intelligence, machine learning, and robotics into unified, adaptive systems. Koul's highly cited 2022 papers — "Approaches and Challenges in Internet of Robotic Things" and "Data Exchange Techniques for Internet of Robotic Things" — together garnering over 66 citations — have established her as a notable voice in understanding how human-machine interactions can be made richer, more reliable, and universally accessible. Her research spans critical application domains including healthcare, manufacturing, transportation, and security. More recently, Koul has expanded her scope to humanoid robot navigation and cognitive systems, as well as the pressing concern of cybersecurity within robotic cyber-physical systems, recognizing that increased connectivity also introduces significant vulnerabilities. Her growing body of work reflects a commitment to bridging theoretical foundations with practical, interdisciplinary solutions, making her research increasingly relevant to students and practitioners navigating the complex landscape of autonomous and connected technologies.
Research Focus
Key Achievements
Top Papers
- 1Approaches and Challenges in Internet of Robotic Things34 citations · 2022
- 2Data Exchange Techniques for Internet of Robotic Things: Recent Developments32 citations · 2022
- 3Navigation and Cognitive Techniques for Humanoid Robots2 citations · 2023
- 4